Event cameras are bio-inspired sensors that differ from conventional frame cameras: Instead
of capturing images at a fixed rate, they asynchronously measure per-pixel brightness …

The nervous systems converts the physical quantities sensed by its primary receptors into
trains of events that are then processed in the brain. The unmatched efficiency in information …

Event cameras are bio-inspired vision sensors that output pixel-level brightness changes
instead of standard intensity frames. They offer significant advantages over standard …

We propose an algorithm to estimate the “lifetime” of events from retinal cameras, such as a
Dynamic Vision Sensor (DVS). Unlike standard CMOS cameras, a DVS only transmits pixel …

We propose a novel method for vision based simultaneous localization and mapping
(vSLAM) using a biologically inspired vision sensor that mimics the human retina. The …

Bio-inspired event cameras have been considered effective alternatives to traditional frame-
based cameras for stereo depth estimation, especially in challenging conditions such as low …

We introduce a stereo correspondence system implemented fully on event-based digital
hardware, using a fully graph-based non von-Neumann computation model, where no …

The visual scene in the physical world integrates multidimensional information (spatial,
temporal, polarization, spectrum and so on) and typically shows unstructured characteristics …

Event cameras are bio-inspired vision sensors that output pixel-level brightness changes
instead of standard intensity frames. They offer significant advantages over standard …

Although motion analysis has been extensively investigated in the literature and a wide
variety of tracking algorithms have been proposed, the problem of tracking objects using the …